Predict and respond to public health issues and emergencies

Successful population health analytics starts with high quality data. And not just clinical data.  Reliable identity data and social determinants of health (SDOH) are essential additives that lead you to a richer, more nuanced view of individuals. Two special areas of concern are:

• Data coverage for priority populations: Underserved populations may not be represented in traditional data sets. For example, census data ages rapidly and doesn’t drill down to the individual level. Meanwhile, survey data covers just a subset of the full population. You need to activate new data sources that help you accurately identify and model for individuals most likely to be disparately impacted.
• Strategic planning: It is widely accepted that 80 percent of health outcomes are dependent on factors outside the direct healthcare setting: stable housing, access to food, social isolation and more. But many agencies struggle to understand how to ethically source and use data for predictive analytics and policy decisions. Many SDOH programs rely on zip code level view, which can be misleading because a single zip code may include both luxury homes and Section 8 housing, areas with very different needs.
  
  

LexisNexis® Risk Solutions helps public health agencies enhance existing profiles and stay up to date with current, relevant information on individuals. We maintain billions of records across 10,000+ public data sources — including address history, phone data, utilities, rental payments and more — that help you see into these underserved populations.

Key strengths of our solutions:

• Expert data management: Data can change quickly, especially with transient populations, and updates are susceptible to errors in data entry. Our management capabilities address these issues. Referential data — data that has been verified against other sources and deemed “the single source of truth” — is consistently updated and filtered. Fuzzy-matching linking technology intelligently cross-compares manually input data against multiple data sources to surface the best, most recent information. This not only reduces no-hits and not-founds but also keeps fresh data at the ready when speed is critical and when tracking individuals over long periods.
• Social Determinants of Health (SDOH) data: Our data reaches beyond traditional health information sources to form a more holistic look at individuals. Details such as proximity to relatives and associates, assets, trends over time, neighborhood and household characteristics go a long way to tailoring services, improving predictive modeling, and customizing interventions. Using our clinically validated SDOH data, agencies have gained a better understanding of economic and lifestyle data attributes that lead to negative outcomes like medication nonadherence, increased hospital readmission, and general lack of motivation. 
• Data ethics: We place a strong emphasis on protecting and using data the right way. We work with other healthcare industry partners to advocate for robust policies and procedures around SDOH data governance — especially as it relates to accuracy, clinical relevance, and bias — and accountability in how the data accessed, stored, and tracked.

Contact tracing and outreach usually needs to be swift, especially when a public health emergency is unfolding. But it also needs to be precise, as the information you’re delivering can be sensitive in nature. Getting the details wrong can result in delayed response, inefficient resource outlay (among already limited team resources) and the potential exposure of private information to the wrong individual.

What stands in the way of effective locate and contact activities? Data that’s outdated or limited in some way. This is especially true when trying to communicate with vulnerable populations that are the hardest to identify and reach due to frequent changes in health coverage, and social factors like housing or employment. Identifying and outreaching to these populations requires expanded data sets to find them. But even people “on the grid” aren’t always easy to find: They move or switch jobs. They may change names, get married or divorced, have children or other life events. Any of these events will leave you with information gaps.

LexisNexis® Risk Solutions helps public health agencies quickly track down individuals (and businesses, when applicable) to stay up to date with current, relevant contact details. We maintain billions of records across 10,000+ public data sources — including address history, phone data, legal name changes, authorized agents of a business, and more — that help you connect with more of your population, including those most at risk.

Key strengths of our solutions:

• Referential data: Our referential data — data that has been verified against other sources and deemed “the single source of truth” — is consistently updated and filtered. Fuzzy-matching linking technology intelligently cross-compares manually input data against multiple data sources to surface the best, most recent information. This not only reduces no-hits and not-founds — but also keeps fresh data at the ready when speed is critical and when tracking individuals over time.
• Simple, intuitive search functionality. When you need to act quickly — for example, deploying new contact tracers — the last thing you want to do is bog people down with complicated tools. Our contact & locate solution helps teams get fast access to consumer and small business data from thousands of public and proprietary sources, delivered in a concise, rank-ordered output. Leverage "We Also Found" prompts that clearly show you what types of other information are available. Gain deeper insights with links to first- and last-seen dates, information on relatives and associates and address details.